Sr. Software Development Engineer In Test - Siri AI Quality

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Apple is seeking a Senior Software Engineer to join the Siri AI Quality Engineering team. You will design and optimize data-driven testing pipelines, triage automation results, and evaluate not just function but the quality of Siri’s responses and user interactions.

You will work closely with Product, Platform, and ML teams to understand how Siri behaves and evolves, shaping model improvements and feature launches for millions of users worldwide.

Qualifications

• 5+ years of experience designing, implementing, and optimizing large-scale data-driven platforms.
• Thorough understanding of system architecture and large-scale system design.
• Proficiency with Git and CI/CD systems like Jenkins.
• Strong programming skills in Swift, Python, and Shell scripting.
• Experience building dashboards and analytics with Tableau, Grafana, Superset, or Splunk.
• Ability to collaborate cross-functionally with engineering, ML and data science teams.

Responsibilities

• Design, drive, triage, and evaluate automation results for Siri AI features.
• Measure qualitative user experiences of Siri interactions beyond pass/fail tests.
• Collaborate with Product, Platform engineers, and PMs to understand behavior and ripple effects across the stack.

Skills

Swift

Python

Shell scripting

Git

CI/CD

Education

BS/MS in Computer Science or Engineering

Tools

Tableau

Grafana

Superset

Splunk

Jenkins

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As part of Siri AI Quality Engineering, we are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AI/ML products to new products that will help millions get things done, across the globe? Join Siri AI Quality Engineering at Apple and contribute to a highly accomplished team dedicated to releasing high-quality software, models, and products that will delight and inspire millions of people.

Description

We are seeking a Senior Software Engineer to join our Siri AI Client Platforms Quality Engineering team. In this role, you will be dealing with high volumes of test data and evaluation pipelines requiring both technical depth and creative thinking to build solutions that can keep pace with the rapid evolution of AI technologies. You will be responsible for designing, driving, triaging, evaluating automation results that support the qualification of Siri's AI features, not just validating what features are supposed to do, but creatively measuring qualitative experiences the way a real user would. This means going beyond pass/fail metrics and thinking deeply about how Siri's responses feel, how natural the interactions are, and how well the product truly serves our customers in the real world. You will work closely with Product, Platform engineers, and program managers to understand how Siri behaves, how they evolve, and how changes in the underlying AI stack ripple through to the customer experience. Your insights and findings will directly influence product decisions, model improvements, and feature launches. We are a fast-paced, and deeply collaborative team that values the tight relationship between Quality engineering, Product engineering, and program management. We move quickly, we hold ourselves to the highest standards, and we genuinely care about the products we build. If you are someone who thrives in an environment where your work matters, where innovation is encouraged, and where you can see the direct impact of your contributions on a global scale, this is the team for you.

Minimum Qualifications

• 5+ years of experience designing, implementing, and optimizing large-scale data-driven platforms and frameworks, APIs, services, and tools.
• Thorough understanding of system, architecture and large-scale system design.
• Strong programming skills with Swift, Python and Shell scripting languages
• Experience building dashboards and analytics solutions using tools like Tableau, Grafana, Superset, or Splunk to visualize KPIs and monitor data quality.
• Demonstrated success in collaborating cross-functionally with engineering, machine learning, and data science teams to solve complex challenges.
• Ability to proactively triage, investigate, and debug difficult technical and UX problems independently as well as collaboratively
• Capacity to drive test triage products, methodologies, and processes
• Proficiency with software revision control (e.g. Git) and CI/CD systems (e.g. Jenkins)
• Highly organized with strong planning skills to estimate, update, and communicate progress
• BS/MS in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Deep understating about large scale data validation platforms with focus on privacy.
• Experience building tooling solutions with Claude tools.
• Knowledge of statistics-based evaluation approaches, ML training pipelines, and techniques for enhancing the accuracy of ML systems.
• Strong attention to detail and the proven ability to delve into data, uncover hidden patterns, and conduct comprehensive error/deviation analysis.